Weekend long read on how Hard Fork’s @kevinroose has oversold new AI tools for coding without knowing how to code, as a case study in a larger phenomenon of some leading journalists overhyping AI:
@garymarcus
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Masa’s OpenAI Investment Strategy: Borrowing Majority of Capital
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Musk gets something right, for a change: Masa would apparently be BORROWING a large fraction of the money he would invest in OpenAI.
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Version 4.5 breaks downstream code despite user dissatisfaction
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no, they are saying archive this one because every time he changes something breaks in their downstream code but the reason it rings so false is that lots of people are not actually that happy with 4.5.
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AI Appeasement Strategy Risks: Historical Parallels to Policymaking
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Hitler’s appeasers said the same thing. Didn’t work then, won’t work now. Read some history. Or maybe you just don’t care?
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Google’s Repeated AI Failures: False Information in Ads
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OMG. You cannot make this up. February 8, 2023: “Alphabet stock plunge erases $100 billion after new AI chatbot gives wrong answer in ad” February 6, 2025: “Google edits Super Bowl ad for AI that features false information” Exponential progress, my eye.
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Symbolic Rules Essential for AI System Training Architecture
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yes i understand that. (and addressed it another reply a moment ago). my point is that the SYSTEM as whole, requires symbolic rules for training. that’s not the neurosymbolic partition i think will need in the end, but it is still leveraging symbolics in an essential ways.
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System Shutdown: AI Infrastructure Facing Complete Shutdown
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you are lost. they are not restarting. they are shutting the whole system down.
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Challenging 1000x Performance Claims in AI Metrics
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Cheaper price is not what the paper is about and the only reason I am not blocking you for “retard” is to see if you can document the 1000x on any metric. On most metrics I aware of that is not remotely true. And it is CERTAINLY not true on all.
